Chris Vermillion

1.1k total citations
83 papers, 749 citations indexed

About

Chris Vermillion is a scholar working on Aerospace Engineering, Control and Systems Engineering and Ocean Engineering. According to data from OpenAlex, Chris Vermillion has authored 83 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Aerospace Engineering, 33 papers in Control and Systems Engineering and 18 papers in Ocean Engineering. Recurrent topics in Chris Vermillion's work include Aerospace Engineering and Energy Systems (50 papers), Spacecraft Dynamics and Control (27 papers) and Underwater Vehicles and Communication Systems (18 papers). Chris Vermillion is often cited by papers focused on Aerospace Engineering and Energy Systems (50 papers), Spacecraft Dynamics and Control (27 papers) and Underwater Vehicles and Communication Systems (18 papers). Chris Vermillion collaborates with scholars based in United States, Switzerland and Sweden. Chris Vermillion's co-authors include Mitchell Cobb, Ilya Kolmanovsky, Hosam K. Fathy, Ken Butts, Jing Sun, Kira Barton, Ronny Salim Lim, Lorenzo Fagiano, Amor A. Menezes and Roy S. Smith and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automatica and Renewable Energy.

In The Last Decade

Chris Vermillion

76 papers receiving 737 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chris Vermillion United States 15 433 275 143 141 141 83 749
Hailong Feng China 10 197 0.5× 82 0.3× 121 0.8× 25 0.2× 119 0.8× 31 504
Mario Silvagni Italy 9 195 0.5× 145 0.5× 99 0.7× 70 0.5× 34 0.2× 29 466
Ivan Petrunin United Kingdom 11 226 0.5× 110 0.4× 109 0.8× 33 0.2× 44 0.3× 90 524
Juliana Early United Kingdom 14 254 0.6× 43 0.2× 117 0.8× 140 1.0× 17 0.1× 80 575
J.T. Economou United Kingdom 12 101 0.2× 112 0.4× 148 1.0× 213 1.5× 8 0.1× 61 418
Jaw-Kuen Shiau Taiwan 16 226 0.5× 171 0.6× 329 2.3× 142 1.0× 17 0.1× 36 671
Luis Amézquita-Brooks Mexico 11 108 0.2× 212 0.8× 156 1.1× 57 0.4× 7 0.0× 59 423
Daniel Viassolo United States 10 61 0.1× 218 0.8× 192 1.3× 88 0.6× 13 0.1× 35 456
Julie Chalfant United States 13 85 0.2× 103 0.4× 98 0.7× 69 0.5× 33 0.2× 57 455
Houman Hanachi Canada 10 75 0.2× 239 0.9× 70 0.5× 67 0.5× 13 0.1× 22 485

Countries citing papers authored by Chris Vermillion

Since Specialization
Citations

This map shows the geographic impact of Chris Vermillion's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chris Vermillion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Vermillion more than expected).

Fields of papers citing papers by Chris Vermillion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Vermillion. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chris Vermillion. The network helps show where Chris Vermillion may publish in the future.

Co-authorship network of co-authors of Chris Vermillion

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Vermillion. A scholar is included among the top collaborators of Chris Vermillion based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Vermillion. Chris Vermillion is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jenkins, Michael J., et al.. (2025). Optimal Cyclic Control of a Structurally Constrained Morphing Energy-Harvesting Kite Using an Experimentally Validated Simulation Model. IEEE Transactions on Control Systems Technology. 33(2). 744–759.
2.
Fine, Jacob, James Morris, Mike Muglia, et al.. (2024). Experimental Validation of an Iterative Learning-Based Flight Trajectory Optimizer for an Underwater Kite. IEEE Transactions on Control Systems Technology. 32(4). 1240–1253. 2 indexed citations
3.
Vermillion, Chris, et al.. (2024). Co-Design for Real-Time Adaptability: Methodology and Wind Energy Case Study. IFAC-PapersOnLine. 58(28). 816–821.
4.
Muglia, Mike, et al.. (2023). Dynamic Characterization, Flow Modeling, and Hierarchical Control of an Energy-Harvesting Underwater Kite in Realistic Ocean Conditions. SHILAP Revista de lepidopterología. 6(2). 91–107. 1 indexed citations
5.
Vermillion, Chris, et al.. (2023). Integrated physical design, control design, and site selection for an underwater energy-harvesting kite system. Renewable Energy. 220. 119687–119687. 5 indexed citations
6.
Vermillion, Chris, et al.. (2023). Game Theoretic Wind Farm Control Based on Level-k Cognitive Modeling. 36. 934–940.
8.
Mazzoleni, Andre P., et al.. (2021). Fused Geometric, Structural, and Control Co-Design Framework for an Energy-Harvesting Ocean Kite. 3525–3531. 8 indexed citations
10.
Vermillion, Chris, et al.. (2020). Recursive Gaussian Process-Based Adaptive Control, With Application to a Lighter-Than-Air Wind Energy System. IEEE Transactions on Control Systems Technology. 29(4). 1823–1830. 5 indexed citations
11.
12.
Cobb, Mitchell, et al.. (2020). Optimal Exploration and Charging for an Autonomous Underwater Vehicle with Energy-Harvesting Kite. 4134–4139. 21 indexed citations
13.
Cobb, Mitchell, et al.. (2020). Lab-Scale, Closed-Loop Experimental Characterization, Model Refinement, and Validation of a Hydrokinetic Energy-Harvesting Ocean Kite. Journal of Dynamic Systems Measurement and Control. 142(11). 18 indexed citations
14.
Cobb, Mitchell, et al.. (2020). Hierarchical Control Design and Performance Assessment of an Ocean Kite in a Turbulent Flow Environment. IFAC-PapersOnLine. 53(2). 12726–12732. 18 indexed citations
15.
Vermillion, Chris, et al.. (2019). Combined Plant and Controller Design Using Batch Bayesian Optimization: A Case Study in Airborne Wind Energy Systems. Journal of Dynamic Systems Measurement and Control. 141(9). 10 indexed citations
16.
Vermillion, Chris, et al.. (2019). Economic Optimal Control for Minimizing Fuel Consumption of Heavy-Duty Trucks in a Highway Environment. IEEE Transactions on Control Systems Technology. 28(5). 1652–1664. 30 indexed citations
17.
Li, Jian, et al.. (2018). A Comparative Assessment of Economic Model Predictive Control Strategies for Fuel Economy Optimization of Heavy-Duty Trucks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 834–839. 14 indexed citations
18.
Cobb, Mitchell, Kira Barton, Hosam K. Fathy, & Chris Vermillion. (2017). Iterative learning-based waypoint optimization for repetitive path planning, with application to airborne wind energy systems. 2698–2704. 9 indexed citations
19.
Vermillion, Chris, Amor A. Menezes, & Ilya Kolmanovsky. (2013). Stable hierarchical model predictive control using an inner loop reference model and λ-contractive terminal constraint sets. Automatica. 50(1). 92–99. 16 indexed citations
20.
Vermillion, Chris, Amor A. Menezes, & Ilya Kolmanovsky. (2011). Stable Hierarchical Model Predictive Control Using an Inner Loop Reference Model*. IFAC Proceedings Volumes. 44(1). 9278–9283. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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